應用改良式平整度指標預測模式之建立

DEVELOPMENT OF PAVEMENT ROUGHNESS PREDICTION MODEL BY RESPONSE-BASED DEVICE AND ADJUSTED ACCELERATION ROUGHNESS INDEX

周家蓓(Chiapei Chou) ； 吳東縉(Dong-Jin Wu) ； 陳艾懃(Ai-Qin Chen)

《中國土木水利工程學刊》 34卷8期 (2022/12) Pp. 693-699

https://doi.org/10.6652/JoCICHE.202212_34(8).0004

摘要

道路鋪面服務績效各指標中，平整度對路人而言是最受重視且與行車安全與舒適性高度相關之指標。本研究採用自行研發之簡易型平整儀為量測設備，同時藉由與國際操度指標意涵相同之改良式平整度指標進行道路平整度評估。經由中山高北部雙向路段共58.8公里之多次平整度量測，並整合路段中交通流量與地磅站過磅資料等，建立適用於高速公路之平整度預測模式。研究方法不僅可以提供道路主管機關以經濟方式隨時檢測鋪面平整度、預測路段平整度遞減趨勢、且所得成果更可作為平整度不佳路段篩選之用，以輔助維護單位訂定更精準平整儀檢測之門檻。

關鍵字

道路平整度 ； 簡易平整儀 ； 改良式平整度指標

並列摘要

Roughness index is one of the most relevant pavement performance indices due to its impact on driving safety and comfortability. This study applies the newly innovated response-based device (RBD) and the corresponding adjusted accelearation root-mean-square index (AARI) to develop the roughness prediction model for National Freeway system. Roughness measurements of a total length of 58.8 km for both directions of northern section of National Sun Yat-Sen Freeway were conducted periodically during study period and the traffic and weight information were also collected. It is concluded that not only the RBD can provide economic and efficient roughness data collection, but the developed prediction model serves as the pre-screening function for further pavement inspection and maintenance needs.

並列關鍵字

pavement roughness ； response-based device ； adjusted acceleration roughness index

參考文獻

Islam, S., Buttlar, W. G., Aldunate, R. G., and Vavrik, W. R., “Measurement of pavement roughness using android-based smartphone application,” Transportation Research Record, Vol. 2457, No. 1, pp. 30-38 (2014).

Aleadelat, W., Ksaibati, K., Wright, C. H., and Saha, P., Evaluation of pavement roughness using an android-based smartphone,” Journal of Transportation Engineering, Part B: Pavements, Vol. 144, No. 3, 04018033 (2018).

Souza, V. M., “Asphalt pavement classification using smartphone accelerometer and Complexity Invariant Distance,” Engineering Applications of Artificial Intelligence, Vol. 74, pp. 198-211 (2018).

Zeng, H., Park, H., Fontaine, M. D., Smith, B. L., and McGhee, K. K., “Identifying deficient pavement sections by means of an improved acceleration-based metric,” Transportation Research Record, Vol. 2523, No. 1, pp. 133-142 (2015).

Zeng, H., Park, H., Smith, B. L., and Parkany, E., “Feasibility assessment of a smartphone-based application to estimate road roughness,” KSCE Journal of Civil Engineering, Vol. 22, No. 8, pp. 3120-3129 (2018).